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首页> 外文期刊>Aerospace science and technology >Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults
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Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults

机译:受到多重干扰和执行器故障的超操纵超音速再入飞行器的容错控制

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摘要

In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator faults. For convenience of fault-tolerant controller design, conventional hypersonic reentry vehicle model is transformed into control-oriented model by incorporating actuator faults into lumped disturbance. Based on the lumped disturbance estimate provided by high order sliding mode observer, fault-tolerant controllers are developed within the frame of active disturbance rejection control in attitude loop and angular rate loop according to time-scale separation and singular perturbation principle. Then, the desired control moment is allocated to actuators based on recurrent neural network. With the well-designed fault-tolerant controllers and control allocation, a novel meta-heuristic dynamic adaptation salp swarm algorithm is employed to optimize control parameters to achieve minimum attitude tracking error. Comparative simulations are conducted to verify the effectiveness of the developed dynamic adaptation salp swarm algorithm and the investigated fault-tolerant control scheme. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:针对高音速再入飞行器在多次扰动和时变执行器故障下的姿态跟踪问题,提出了一种容错控制方案。为了方便容错控制器设计,通过将执行器故障合并到集总扰动中,将传统的超音速再入飞行器模型转换为面向控制的模型。基于高阶滑模观测器提供的总扰动估计值,根据时标分离和奇异摄动原理,在姿态环和角速率环的主动扰动抑制控制框架内开发了容错控制器。然后,基于递归神经网络将所需的控制力矩分配给执行器。通过精心设计的容错控制器和控制分配,采用了一种新颖的元启发式动态自适应salp群算法来优化控制参数,以实现最小的姿态跟踪误差。进行了比较仿真,以验证所开发的动态自适应Salp群算法和所研究的容错控制方案的有效性。 (C)2019 Elsevier Masson SAS。版权所有。

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